One layer that connects your tools, builds a permissioned company memory, answers with cited sources, and proves every output. One invoice. No black box.
The problem
Every team already uses AI — through personal accounts, parallel subscriptions and unverifiable chat windows. For a business, an unverifiable answer is a liability, not leverage.
The solution
GAIA Orchestra turns every request into a governed execution path: scoped to a tenant, enriched with approved memory, routed to the right model or tool, checked by policy, and returned with proof.
The full request journey — eleven gates from input to output — is documented on the Orchestra page.
Memory recall requires a tenant scope. There is no cross-tenant recall path, and retrieval policy filters and trust-labels everything that enters a prompt.
Policy runs twice — before and after prompt enrichment. External, sensitive or economic actions require explicit approval gates. Model deployment is human-only.
Every output carries a proof ID and a status. Mock, fallback or dry-run results are never marked verified — refusals and errors get proof IDs too.
How it works
Read-only by default, admin-approved. Slack, Drive, Notion, Gmail, HubSpot, Calendar — data boundaries are designed before anything flows.
A permissioned company memory, scoped per tenant and per user. Search respects each person’s existing access — never more.
Answers with cited sources, a morning brief per team, and supervised agents that prepare work — a human approves anything that leaves.
Want the engineering view? See the eleven gates in detail →
What your teams get
| Capability | Business outcome |
|---|---|
| Ask GAIA — cited search | Find anything across Slack / Drive / Notion / Gmail in one question — with sources, not guesses. |
| Company memory | Knowledge stays in the company — structured, permissioned, and still there when people leave. |
| Morning brief | Every team starts the day aligned on what changed and what matters. |
| Cost orchestrator | One invoice instead of four subscriptions; tier-aware routing cut AI spend −41% in pilot. |
| Supervised agents | Agents prepare and suggest; a human validates. Drafts, never surprises. |
Full catalog with honest maturity labels on the Product page.
Who it’s for
Teams of 100–500 with sensitive knowledge — where “we put it in a public chatbot” is not an acceptable answer.
Privilege and confidentiality are non-negotiable. Tenant isolation and source-level permissions keep every matter walled off.
Patient data demands GDPR-grade handling. Approval gates and audit trails make every AI touchpoint reviewable.
One invoice, one cost dashboard, zero shadow AI — and proof IDs your compliance team can actually audit.
Your IP is your business. No training on customer data — guaranteed contractually, enforced structurally.
The economics
Illustrative model for a 180-person organization, based on our first deployment scoping — validated against your own numbers during the pilot.
| Current stack (fragmented) | GAIA, year 1 | |
|---|---|---|
| Monthly AI spend | ~$24,200 | ~$13,700 |
| Annual comparable | ~$290k | ~$164k recurring + $11k onboarding |
| Per employee / month | ~$134 | ~$63 — all included |
| Cash ROI | — | Positive from month 8 |
Offers
One business unit of 30–50 people, one workflow, 30 days
credited against your contract if you sign
100–250 employees
≈ €63 per seat — all included
250–500 employees
scoped to your stack and policies
500+ or regulated / sensitive environments
private or hybrid deployment
Full inclusions and cost drivers on the Pricing page.
Early proof
180 employees · 12 mission spaces · Slack / Gmail / Calendar / Notion / HubSpot bridges · token orchestration with local-first routing.
Modeled outcome: ~$10.5k/month saved vs. the fragmented stack, cash-ROI positive from month 8. Labeled pending-proof until validated over a full quarter — that’s how we label our own outputs too.
“GAIA replaced four AI subscriptions with one proven layer. For the first time, we can show the board what our AI actually did — and what it cost.”
— COO, design-partner engagement (attribution pending publication approval)
Security & compliance in full detail → Security page
FAQ
We map it, connect it, and return proof-backed outputs — with a measured ROI report at the end. Your decision is based on proof, not promises.
